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Error Concealment Using Adaptive Multilayer Perceptrons (MLPs) for Block-Based Image Coding (2000)  (Make Corrections)  
Yu-Len Huang, Ruey-Feng Chang
Neural Computing & Applications



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Abstract: this paper, a novel adaptive EC algorithm is proposed to conceal the error for block-based image coding systems by using neural network techniques in the spatial domain. In the proposed algorithm, only the intra-frame information is used for reconstructing the image with damaged blocks. The information of pixels surrounding a damaged block is used to recover the errors using the neural network models. Computer simulation results show that the visual quality and the PSNR evaluation of a... (Update)

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BibTeX entry:   (Update)

@article{ huang00error,
    author = "Yu-Len Huang and Ruey-Feng Chang",
    title = "Error Concelament Using Adaptive Multilayer Perceptrons ({MLP}s) for Block-Based Image Coding",
    journal = "Neural Computing & Applications",
    volume = "9",
    number = "2",
    pages = "83--92",
    year = "2000",
    url = "citeseer.ist.psu.edu/huang00error.html" }
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